faiss-cpu

View on PyPIReverse Dependencies (493)

1.10.0 faiss_cpu-1.10.0-cp39-cp39-win_amd64.whl
faiss_cpu-1.10.0-cp39-cp39-macosx_10_14_x86_64.whl
faiss_cpu-1.10.0-cp39-cp39-manylinux_2_28_x86_64.whl
faiss_cpu-1.10.0-cp39-cp39-manylinux_2_28_aarch64.whl
faiss_cpu-1.10.0-cp39-cp39-macosx_11_0_arm64.whl
faiss_cpu-1.10.0-cp313-cp313-win_amd64.whl
faiss_cpu-1.10.0-cp313-cp313-macosx_10_14_x86_64.whl
faiss_cpu-1.10.0-cp313-cp313-manylinux_2_28_x86_64.whl
faiss_cpu-1.10.0-cp313-cp313-manylinux_2_28_aarch64.whl
faiss_cpu-1.10.0-cp313-cp313-macosx_11_0_arm64.whl
faiss_cpu-1.10.0-cp312-cp312-win_amd64.whl
faiss_cpu-1.10.0-cp312-cp312-macosx_10_14_x86_64.whl
faiss_cpu-1.10.0-cp312-cp312-manylinux_2_28_x86_64.whl
faiss_cpu-1.10.0-cp312-cp312-manylinux_2_28_aarch64.whl
faiss_cpu-1.10.0-cp312-cp312-macosx_11_0_arm64.whl
faiss_cpu-1.10.0-cp311-cp311-win_amd64.whl
faiss_cpu-1.10.0-cp311-cp311-macosx_10_14_x86_64.whl
faiss_cpu-1.10.0-cp311-cp311-manylinux_2_28_x86_64.whl
faiss_cpu-1.10.0-cp311-cp311-manylinux_2_28_aarch64.whl
faiss_cpu-1.10.0-cp311-cp311-macosx_11_0_arm64.whl
faiss_cpu-1.10.0-cp310-cp310-win_amd64.whl
faiss_cpu-1.10.0-cp310-cp310-macosx_10_14_x86_64.whl
faiss_cpu-1.10.0-cp310-cp310-manylinux_2_28_x86_64.whl
faiss_cpu-1.10.0-cp310-cp310-manylinux_2_28_aarch64.whl
faiss_cpu-1.10.0-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: faiss-cpu
Version: 1.10.0
Filename: faiss_cpu-1.10.0-cp39-cp39-macosx_11_0_arm64.whl
Download: [link]
Size: 3235184
MD5: 63e7457cb4747e1a403846665c039f89
SHA256: f71c5860c860df2320299f9e4f2ca1725beb559c04acb1cf961ed24e6218277a
Uploaded: 2025-01-31 07:45:37 +0000

dist-info

METADATA

Metadata-Version: 2.2
Name: faiss-cpu
Version: 1.10.0
Summary: A library for efficient similarity search and clustering of dense vectors.
Author-Email: Kota Yamaguchi <yamaguchi_kota[at]cyberagent.co.jp>
Project-Url: Repository, https://github.com/kyamagu/faiss-wheels
License: MIT License
Keywords: faiss,similarity search,clustering,machine learning
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Requires-Dist: numpy (<3.0,>=1.25.0)
Requires-Dist: packaging
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3286 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: false
Tag: cp39-cp39-macosx_11_0_arm64

RECORD

Path Digest Size
faiss_cpu-1.10.0.dist-info/RECORD
faiss_cpu-1.10.0.dist-info/LICENSE sha256=WIeseFb8XlKsip07StlCDHeYTCME9qlvgxSryQpfc-4 1071
faiss_cpu-1.10.0.dist-info/WHEEL sha256=md3JO_ifs5j508p3TDNMgtQVtnQblpGEt_Wo4W56l8Y 107
faiss_cpu-1.10.0.dist-info/top_level.txt sha256=nr2S-1YAhqAuAlFJukntDvRGXfI1KmwnUNs_iFlNiig 6
faiss_cpu-1.10.0.dist-info/METADATA sha256=k8Oqa9qO1d_KljrW_e7B5oiV073ICJ5CwOci41vp1dk 4433
faiss/class_wrappers.py sha256=ReYh4z4HoAVlRW4rZ1cQy0Hi2z0Tz4aDU_DwIKvOfCg 48267
faiss/_swigfaiss.cpython-39-darwin.so sha256=c9V8wrhvv3OXqkfH9qBewHDsiOciVqHDNOV3PlQeN4U 10917712
faiss/extra_wrappers.py sha256=B_C7O8HC0rfYvIeecWBEZxjIGueIjWgyGt0k5v6JFoE 20492
faiss/__init__.py sha256=tA8_xJ3pt4LyKMXEgiwwuiqc9c2q4F9ZGBOlOTyj9J8 12352
faiss/setup.py sha256=hyyzmNocXW8-zRziXlGSLS3QoZDwkCNHeBfii_WZEn4 4823
faiss/array_conversions.py sha256=D4nCV39t03NR46z_DutDUnzO3JZi7_4w0D5F6HKVFhA 5103
faiss/loader.py sha256=Ih3mYPcDahHzFjJerQeEadUSwe4r0u2D3H7WKnUtrjY 5715
faiss/python_callbacks.h sha256=Di3GvEZb1aJxQxJagsmUS_xNFNfIm4BtbVVaSqB8rdw 1771
faiss/gpu_wrappers.py sha256=r2XcE_WO_URnFVq01zPgHbyKhfRHFvlw7nlX6-eObc8 9196
faiss/swigfaiss.py sha256=cNdu5pM9SzNma3Gtpr_JcKjAqxCdg9-WkYz8u7Q6TIQ 533340
faiss/swigfaiss.i sha256=pmiBVlt0CZByBV9iO3gssdxiSOvCIPbvk5XkiECKTJU 34916
faiss/contrib/exhaustive_search.py sha256=Hw7S_DOjYp2BQ2RGbG5TcJVK6MCbFKpwCgq3aAK3yd8 12380
faiss/contrib/ondisk.py sha256=o75LX2UDSVb0WaKWHKVwfVoXXmIGt-qblIMaVP3VRYQ 2069
faiss/contrib/clustering.py sha256=yqnMrpmOk2Ds_3AVt4Ka54sfb5On0azsO0qcdx0pXms 12699
faiss/contrib/evaluation.py sha256=YCK_WdDOmuk3YTywCyVk_7bwMjrOwz5LS7o3XCO064U 14995
faiss/contrib/datasets.py sha256=W-Y_T8JBXSaTqKwaNl_DvtVepd71OS34Dp4UpVIyaFQ 12273
faiss/contrib/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
faiss/contrib/factory_tools.py sha256=KChfcCgd5n8VOT669x1LKB035o0u3yMwwMlyf3FgnFU 5085
faiss/contrib/rpc.py sha256=AFSNIhDWU6M4PErmYShL9U2DVVTypkJR5C3VpcSZS98 7305
faiss/contrib/big_batch_search.py sha256=L24CEMtqbls_4nnFYxmdoTG9Odt26N4z6yRw7QjdrZA 17640
faiss/contrib/client_server.py sha256=vryOc223DtDbIl-5dI9AS2_zLe9PSyyvS8HUkIiJlIs 2774
faiss/contrib/inspect_tools.py sha256=adznxU6EFhVrBXuyyol5M-j5baUVlhJCOoz7cFDFVdQ 3749
faiss/contrib/vecs_io.py sha256=mBCzkcL0g1P438hur9OrTriQTuFl2CDsidFU5LPHIkU 1383
faiss/contrib/ivf_tools.py sha256=yZVz2UFivUUkur27SeeHfAfwM422tJpwVd6uT55w2yk 4874
faiss/contrib/torch_utils.py sha256=xiJneS8gCQ-Dgoh4wotaYzWMMe8fWwUPOTVrOjPoCaw 26826
faiss/contrib/torch/clustering.py sha256=fuHiTKrpgH3iXoyaqvuij4j2SD7hKS_VGPITbprIGj8 1622
faiss/contrib/torch/quantization.py sha256=co4f6SYN2OcDwIv_QlhbTUosmKT77CbDfP3qH7jCDGA 2796
faiss/contrib/torch/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
faiss/.dylibs/libomp.dylib sha256=iNcXEbN52MR7KbdpashFPCEHgVFWudskFM_dXCKbTCM 827392

top_level.txt

faiss